




'''simple docstring'''







from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

lowerCAmelCase_     						=				{'''UserAgent''': UserAgent().random}







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   A__       =     script.contents[0]
   A__       =     json.loads(data[data.find('{"config"'						) : -1]						)
   return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]

class 	_snake_case:






 def __init__(self       :  List[Any]    ,		a       :  Union[str, Any]    )       ->   Optional[int]:






    """simple docstring"""


    A__       =     f"""https://www.instagram.com/{username}/"""
    A__       =     self.get_json()






 def 						_UpperCamelCase (self       :  Tuple    )       ->   dict:






    """simple docstring"""


    A__       =     requests.get(self.url    ,		headers=a    ).text
    A__       =     BeautifulSoup(a    ,		'html.parser'    ).find_all('script'    )
    try:
       return extract_user_profile(scripts[4]    )
    except (json.decoder.JSONDecodeError, KeyError):
       return extract_user_profile(scripts[3]    )






 def __repr__(self       :  Any    )       ->   str:






    """simple docstring"""


    return f"""{self.__class__.__name__}('{self.username}')"""






 def __str__(self       :  Union[str, Any]    )       ->   str:






    """simple docstring"""


    return f"""{self.fullname} ({self.username}) is {self.biography}"""






 @property
 def 						_UpperCamelCase (self       :  List[Any]    )       ->   str:






    """simple docstring"""


    return self.user_data["username"]






 @property
 def 						_UpperCamelCase (self       :  Tuple    )       ->   str:






    """simple docstring"""


    return self.user_data["full_name"]






 @property
 def 						_UpperCamelCase (self       :  List[Any]    )       ->   str:






    """simple docstring"""


    return self.user_data["biography"]






 @property
 def 						_UpperCamelCase (self       :  Dict    )       ->   str:






    """simple docstring"""


    return self.user_data["business_email"]






 @property
 def 						_UpperCamelCase (self       :  Tuple    )       ->   str:






    """simple docstring"""


    return self.user_data["external_url"]






 @property
 def 						_UpperCamelCase (self       :  Optional[int]    )       ->   int:






    """simple docstring"""


    return self.user_data["edge_followed_by"]["count"]






 @property
 def 						_UpperCamelCase (self       :  str    )       ->   int:






    """simple docstring"""


    return self.user_data["edge_follow"]["count"]






 @property
 def 						_UpperCamelCase (self       :  List[Any]    )       ->   int:






    """simple docstring"""


    return self.user_data["edge_owner_to_timeline_media"]["count"]






 @property
 def 						_UpperCamelCase (self       :  List[Any]    )       ->   str:






    """simple docstring"""


    return self.user_data["profile_pic_url_hd"]






 @property
 def 						_UpperCamelCase (self       :  Optional[int]    )       ->   bool:






    """simple docstring"""


    return self.user_data["is_verified"]






 @property
 def 						_UpperCamelCase (self       :  List[Any]    )       ->   bool:






    """simple docstring"""


    return self.user_data["is_private"]







def 						_A      ( UpperCAmelCase = "github"						):






   '''simple docstring'''







   import os

   if os.environ.get('CI'						):
      return  # test failing on GitHub Actions
   A__       =     InstagramUser(UpperCAmelCase						)
   assert instagram_user.user_data
   assert isinstance(instagram_user.user_data      ,UpperCAmelCase						)
   assert instagram_user.username == username
   if username != "github":
      return
   assert instagram_user.fullname == "GitHub"
   assert instagram_user.biography == "Built for developers."
   assert instagram_user.number_of_posts > 150
   assert instagram_user.number_of_followers > 120000
   assert instagram_user.number_of_followings > 15
   assert instagram_user.email == "support@github.com"
   assert instagram_user.website == "https://github.com/readme"
   assert instagram_user.profile_picture_url.startswith('https://instagram.'						)
   assert instagram_user.is_verified is True
   assert instagram_user.is_private is False


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    lowerCAmelCase_     						=				InstagramUser('''github''')
    print(instagram_user)
    print(f'''{instagram_user.number_of_posts = }''')
    print(f'''{instagram_user.number_of_followers = }''')
    print(f'''{instagram_user.number_of_followings = }''')
    print(f'''{instagram_user.email = }''')
    print(f'''{instagram_user.website = }''')
    print(f'''{instagram_user.profile_picture_url = }''')
    print(f'''{instagram_user.is_verified = }''')
    print(f'''{instagram_user.is_private = }''')








'''simple docstring'''







import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase=True      ,UpperCAmelCase="pt"						):






   '''simple docstring'''







   A__       =     {'add_prefix_space': True} if isinstance(UpperCAmelCase      ,UpperCAmelCase						) and not line.startswith(' '						) else {}
   A__       =     padding_side
   return tokenizer(
       [line]      ,max_length=UpperCAmelCase      ,padding='max_length' if pad_to_max_length else None      ,truncation=UpperCAmelCase      ,return_tensors=UpperCAmelCase      ,add_special_tokens=UpperCAmelCase      ,**UpperCAmelCase      ,)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase=None      ,):






   '''simple docstring'''







   A__       =     input_ids.ne(UpperCAmelCase						).any(dim=0						)
   if attention_mask is None:
      return input_ids[:, keep_column_mask]
   else:
      return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])

class 	_snake_case(			UpperCAmelCase      ):






 def __init__(self       :  List[str]    ,		a       :  Any    ,		a       :  Union[str, Any]    ,		a       :  int    ,		a       :  Optional[int]    ,		a       :  Optional[Any]="train"    ,		a       :  Optional[int]=None    ,		a       :  Tuple=None    ,		a       :  str=None    ,		a       :  Dict=""    ,		)       ->   Dict:






    """simple docstring"""


    super().__init__()
    A__       =     Path(a    ).joinpath(type_path + '.source'    )
    A__       =     Path(a    ).joinpath(type_path + '.target'    )
    A__       =     self.get_char_lens(self.src_file    )
    A__       =     max_source_length
    A__       =     max_target_length
    assert min(self.src_lens    ) > 0, f"""found empty line in {self.src_file}"""
    A__       =     tokenizer
    A__       =     prefix
    if n_obs is not None:
       A__       =     self.src_lens[:n_obs]
    A__       =     src_lang
    A__       =     tgt_lang






 def __len__(self       :  Optional[Any]    )       ->   List[str]:






    """simple docstring"""


    return len(self.src_lens    )






 def __getitem__(self       :  Any    ,		a       :  str    )       ->   Dict[str, torch.Tensor]:






    """simple docstring"""


    A__       =     index + 1  # linecache starts at 1
    A__       =     self.prefix + linecache.getline(str(self.src_file    )    ,		a    ).rstrip('\n'    )
    A__       =     linecache.getline(str(self.tgt_file    )    ,		a    ).rstrip('\n'    )
    assert source_line, f"""empty source line for index {index}"""
    assert tgt_line, f"""empty tgt line for index {index}"""

    # Need to add eos token manually for T5
    if isinstance(self.tokenizer    ,		a    ):
       source_line += self.tokenizer.eos_token
       tgt_line += self.tokenizer.eos_token

    # Pad source and target to the right
    A__       =     (
        self.tokenizer.question_encoder if isinstance(self.tokenizer    ,		a    ) else self.tokenizer
    )
    A__       =     self.tokenizer.generator if isinstance(self.tokenizer    ,		a    ) else self.tokenizer

    A__       =     encode_line(a    ,		a    ,		self.max_source_length    ,		'right'    )
    A__       =     encode_line(a    ,		a    ,		self.max_target_length    ,		'right'    )

    A__       =     source_inputs['input_ids'].squeeze()
    A__       =     target_inputs['input_ids'].squeeze()
    A__       =     source_inputs['attention_mask'].squeeze()
    return {
        "input_ids": source_ids,
        "attention_mask": src_mask,
        "decoder_input_ids": target_ids,
    }






 @staticmethod
 def 						_UpperCamelCase (a       :  Tuple    )       ->   Tuple:






    """simple docstring"""


    return [len(a    ) for x in Path(a    ).open().readlines()]






 def 						_UpperCamelCase (self       :  str    ,		a       :  int    )       ->   Dict[str, torch.Tensor]:






    """simple docstring"""


    A__       =     torch.stack([x['input_ids'] for x in batch]    )
    A__       =     torch.stack([x['attention_mask'] for x in batch]    )
    A__       =     torch.stack([x['decoder_input_ids'] for x in batch]    )
    A__       =     (
        self.tokenizer.generator.pad_token_id
        if isinstance(self.tokenizer    ,		a    )
        else self.tokenizer.pad_token_id
    )
    A__       =     (
        self.tokenizer.question_encoder.pad_token_id
        if isinstance(self.tokenizer    ,		a    )
        else self.tokenizer.pad_token_id
    )
    A__       =     trim_batch(a    ,		a    )
    A__  ,			A__       =     trim_batch(a    ,		a    ,		attention_mask=a    )
    A__       =     {
        'input_ids': source_ids,
        'attention_mask': source_mask,
        'decoder_input_ids': y,
    }
    return batch




lowerCAmelCase_     						=				getLogger(__name__)







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   return list(itertools.chain.from_iterable(UpperCAmelCase						)						)







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   A__       =     get_git_info()
   save_json(UpperCAmelCase      ,os.path.join(UpperCAmelCase      ,'git_log.json'						)						)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase=4      ,**UpperCAmelCase						):






   '''simple docstring'''







   with open(UpperCAmelCase      ,'w'						) as f:
      json.dump(UpperCAmelCase      ,UpperCAmelCase      ,indent=UpperCAmelCase      ,**UpperCAmelCase						)







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   with open(UpperCAmelCase						) as f:
      return json.load(UpperCAmelCase						)







def 						_A      ( ):






   '''simple docstring'''







   A__       =     git.Repo(search_parent_directories=UpperCAmelCase						)
   A__       =     {
       'repo_id': str(UpperCAmelCase						),
       'repo_sha': str(repo.head.object.hexsha						),
       'repo_branch': str(repo.active_branch						),
       'hostname': str(socket.gethostname()						),
   }
   return repo_infos







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   return list(map(UpperCAmelCase      ,UpperCAmelCase						)						)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   with open(UpperCAmelCase      ,'wb'						) as f:
      return pickle.dump(UpperCAmelCase      ,UpperCAmelCase						)







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   def remove_articles(UpperCAmelCase						):
      return re.sub(r'\b(a|an|the)\b'      ,' '      ,UpperCAmelCase						)

   def white_space_fix(UpperCAmelCase						):
      return " ".join(text.split()						)

   def remove_punc(UpperCAmelCase						):
      A__       =     set(string.punctuation						)
      return "".join(ch for ch in text if ch not in exclude						)

   def lower(UpperCAmelCase						):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(UpperCAmelCase						)						)						)						)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   A__       =     normalize_answer(UpperCAmelCase						).split()
   A__       =     normalize_answer(UpperCAmelCase						).split()
   A__       =     Counter(UpperCAmelCase						) & Counter(UpperCAmelCase						)
   A__       =     sum(common.values()						)
   if num_same == 0:
      return 0
   A__       =     1.0 * num_same / len(UpperCAmelCase						)
   A__       =     1.0 * num_same / len(UpperCAmelCase						)
   A__       =     (2 * precision * recall) / (precision + recall)
   return fa







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   return normalize_answer(UpperCAmelCase						) == normalize_answer(UpperCAmelCase						)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   assert len(UpperCAmelCase						) == len(UpperCAmelCase						)
   A__       =     0
   for hypo, pred in zip(UpperCAmelCase      ,UpperCAmelCase						):
      em += exact_match_score(UpperCAmelCase      ,UpperCAmelCase						)
   if len(UpperCAmelCase						) > 0:
      em /= len(UpperCAmelCase						)
   return {"em": em}







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   return model_prefix.startswith('rag'						)







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   A__       =     {p: p for p in extra_params}
   # T5 models don't have `dropout` param, they have `dropout_rate` instead
   A__       =     'dropout_rate'
   for p in extra_params:
      if getattr(UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase						):
         if not hasattr(UpperCAmelCase      ,UpperCAmelCase						) and not hasattr(UpperCAmelCase      ,equivalent_param[p]						):
            logger.info('config doesn\'t have a `{}` attribute'.format(UpperCAmelCase						)						)
            delattr(UpperCAmelCase      ,UpperCAmelCase						)
            continue
         A__       =     p if hasattr(UpperCAmelCase      ,UpperCAmelCase						) else equivalent_param[p]
         setattr(UpperCAmelCase      ,UpperCAmelCase      ,getattr(UpperCAmelCase      ,UpperCAmelCase						)						)
         delattr(UpperCAmelCase      ,UpperCAmelCase						)
   return hparams, config


